The plot represent the rate of life expectancy divided by continent in which the plot does not represent Oceania continent due to lack of data.

El Gráfico representa la convergencia entre valores y pesos de un conjunto de elementos, a partir de los cuales se parametrizan minimos y máximos para extraer elementos particulares del conjunto.

Este plot gráfica una red neuronal(Neural Net) que predice en base a características personales de un conjunto de empleados, la cantidad de VxH (Ventas por Hora), para un posterior proceso de clusterización del departamento de Recursos Humanos.

Este plot muestra un proceso de agrupamiento con KMeans. plot(h$importe,h$dt,col = ag.kmeans$cluster)

Este histograma gráfica un proceso de agrupacíon[clusterización] utilizando un modelo no jerárquico como KMeans.

Minado de textos y Nube de palabras analizando comentarios sobre vinos en inglés utilizando los paquetes "tm", "RColorBrewer" y por supuesto, "wordcloud". La librería de colores utilizada es "Dark2".

A HISTOGRAM is similar to a dot plot, but instead of showing every specific value, it partitions the values of your data into several bins, providing a more condensed representation of the data.

The simplest type of plot is the DOT PLOT, which is used to visually convey the values of one variable. In a dot plot, there is only a horizontal x-axis, and the data points are represented as dots above this axis.

This plot show us the diference betwen cars price value separate on diferent range size. Clustering the cars due there's sizes and estimating the value of each group.

Exploratory graphs serve mostly the same functions as graphs. They help us find patterns in data and understand its properties. They suggest modeling strategies and help to debug analyses. We DON'T use exploratory graphs to communicate results. The histogram gives us a little more detailed information about our data, specifically the distribution of the pollution counts, or how many counties fall into each bucket of measurements. Data: from the U.S. Environmental Protection Agency (EPA) which sets national ambient air quality standards for outdoor air pollution. These Standards say that for fine particle pollution (PM2.5), the "annual mean, averaged over 3 years" cannot exceed 12 micro grams per cubic meter. The pollution count is in the first column labeled pm25 or ppm.

The fourth principle of analytic graphing involves integrating evidence. This means not limiting yourself to one form of expression. In all the seasons, as you move to the right along the x-axis pollution increases and all four blue regression lines move upward, indicating more deaths. As pollution increases more people die in all seasons.

This plot shows the relationship between air pollution (x-axis) and mortality rates among the elderly. The blue regression line shows a surprising result. As pollution increases fewer people die. This is an example of Simpson's paradox, or the Yule–Simpson effect. Wikipedia | tells us that this "is a paradox in probability and statistics, in which a trend that appears in different groups of data disappears when these groups are combined."

By showing the two boxplots side by side, you can clearly see that using the air cleaner | increases the number of symptom-free days for most asthmatic children. The plot on the right | (using the air cleaner) is generally higher than the one on the left (the control group) relationship between the use of an air cleaner and the number of | symptom-free days of asthmatic children